The Bail Project, a nonprofit that provides no-cost bail assistance and pretrial support services for low-income individuals, partnered with Civis Analytics to determine the persuasiveness of its bail reform messages.…
Audience Center in Civis Platform
Audience Center is a no-code solution for users like marketers and strategists to identify and engage their most valuable audiences. Organizations can research, cut, and export lists of individuals, with the option to activate audiences through a range of channels.

Custom Implementation
Audience Center leverages Civis Platform’s Identity Resolution tool to unify first-party data and augment it with third-party assets and predictive models to give organizations a complete view of their universe. An initial scoping process identifies what data organizations have available, as well as what data should be added to enable end users to create the audiences they want.

Defining Your Audience
Point-and-click filters make it easy for users to define an audience based on the variety of data products they have available. Whether that’s honing in on a particular demographic category or including a range of likely behaviors based on Civis’s predictive modeling capabilities, users are able to segment their universe into actionable audiences.

Visualizing Your Data
After an audience is defined, Audience Center produces a variety of different visualizations, including maps, bar charts, distribution plots, index rankings, and time-series graphs. These visualizations help users understand more about their universe and surface new insights that can be used to further refine or expand their audiences.

Cutting a List
Once the user is satisfied with their audience definition, they can use Audience Center to cut a list of individuals that meet that criteria, and send that list directly to a data management platform, CRM, or other external system. This allows users to harness the power of their first-party data, augmented with predictive models and third-party assets, to build and activate more data-driven audiences.